Employee Directory

Damla Ilter Fakhouri Associate Lecturer
Science and Math

Doctor of Philosophy, Statistics, Mimar Sinan Fine Arts University
Master of Science, Statistics, Ondokuz Mayıs University
Bachelor of Science, Statistics, Ondokuz Mayıs University

Dr. Damla Ilter Fakhouri got her Ph.D. in January 2021. Her doctorate is in “Statistics” and her thesis subject is “Hybrid Approaches Based on Artificial Intelligence and Multilevel Logistic Model in Credit Scoring”. In addition, within the scope of the Scientific Research Project, she was a Visiting Researcher (2018 – 2019) in the Department of Statistics at the University of Connecticut, U.S.A. She worked as a Statistics Instructor (2009-2013) at Karacan Academy, Türkiye. Beginning in 2013 at Mimar Sinan Fine Arts University’s Department of Statistics, she advanced from Statistics Specialist to Lecturer (2018 - 2021), PhD Lecturer (2021 - 2023), and ultimately Assistant Professor (2023–2025). The courses she taught at the university where she worked are: “Applied Statistics”, “Probability and Statistics”, “Risk Analyses”, “Time Series”, “Statistics in Social Science”, “Non-parametric Statistics Applications”, “Bayesian Statistics” for bachelor’s degree, and “Machine Learning”, “Variance Analyses” for master’s degree. Causal inference and causal statistical learning topics related to her experiences that she teaches, for example, are researching literature, coding, and analysis with R, MATLAB, EViews, SPSS, and Python for complex and big data using artificial intelligence, neural networks, or machine learning. She regularly gives certificate courses about Statistical Data Analysis training in R Programming Language and IBM SPSS. As an educator, she is committed to fostering inclusive, student-centered learning environments that bridge theoretical foundations with real-world applications. Her teaching philosophy is grounded in the belief that statistical literacy is an essential tool for critical thinking and informed decision-making across all disciplines. She emphasizes clarity, engagement, and relevance by incorporating case studies, data-driven projects, and interdisciplinary perspectives into her instruction. She is a member of the Turkish Statistics Association, the International Statistical Institute (ISI/ISBIS/y-BIS), and the International Chinese Statistical Association.

Publications:

Ilter Fakhouri, D., Alnaaji, M. K. A., Al Korki, H., & Demirdağ, M. (2025). A Machine Learning Approach to Predict Employee Churn. Turkish journal of statistics and data science, 01(2), 78–88. https://doi.org/10.5281/zenodo.17856632

Engin E., Fakhouri I. D. (2024). Comparison of Machine Learning Algorithms for Predicting Financial Risk in Cash Flow Statements. Turkish Journal of Forecasting, 8(1), 1-12., Doi: 10.34110/forecasting.1403565
https://dergipark.org.tr/en/pub/forecasting/issue/83399/1403565

Ilter, D., Baser, Ö.,B., Career Continuity of Women Who Graduate of Architecture: a Statistical Perspective, Livre De Lyon, Current Social and Humanities Studies, pg.155- 169, Mart, 2023. ISBN (978-2-38236-531-1).
https://bookchapter.org/kitaplar/Guncel_Sosyal_ve_Beseri_Biliml_.pdf

Atasever, D., Ilter, D., The Effect of the Pandemic Process on the Scientific Studies of Female Academicians, INSAC Contemporary Trends in Humanities and Social Sciences, Duvar Kitabevi, Mart, 2022. ISBN (978-625-8109-03-3).
https://www.insackongre.com/_files/ugd/e42d97_38d00a79d56a49d6b3de0df1d7ce1260.pdf

Ilter, D., Deniz, E., Kocadaglı, O., Hybridized artificial neural network classifiers with a novel feature selection procedure based on genetic algorithms and information complexity in credit scoring. Appl Stoch Model Bus Ind, 37 (2) (2021), pp. 203-228, 10.1002/Asmb.2614
https://onlinelibrary.wiley.com/doi/10.1002/asmb.2614

Ilter, D., Kocadaglı, O., Credit Scoring by Artificial Neural Networks based Cross-Entropy and Fuzzy Relations, Sigma Journal of Engineering and Natural Sciences, Electronical ISSN: 1304-7205, 2019/3.
https://sigma.yildiz.edu.tr/article/359

Ilter, D., Kocadagli, O., Ravishanker, N., Feature Selection Approaches for Machine Learning Classifiers on Yearly Credit Scoring Data, Young Business and Industrial Statisticians Workshop on Recent Advantages in Data and Business Analytics (y-BIS2019), Istanbul, Turkey, 2019. Conference Proceeding e-Book with ISBN (978-605-5005-95-5 ) and Serial Number (eMSGSÜ-FEF-İST-019/09-Kat1).
http://kutuphane.msgsu.edu.tr/yordambt/yordam.php?aDemirbas=EK925DE7C3

Ilter, D., Kocadagli, O., Comparison of the Hybrid Artificial Intelligence Techniques for Credit Scoring, ISBIS (International Symposium on Business and Industrial Statistics) 2018 Meeting on Statistics in Business and Industry (ISBIS2018/ in y-BIS session as an invited speaker), Piraeus, Greece, 2018.

Ilter,D., Kocadagli,O.,2017, Artificial Neural Networks based Cross-entropy and Fuzzy relations for Individual Credit Approval Process, 10th International Statistics Congress, Ankara, Turkey.
https://turkistatistik.org.tr/wp-content/uploads/2015/03/ISTKON10-Abstract-Book-1-min.pdf

Ilter, D., Karaahmetoglu, E., Gundogdu, O., Dalar, A.Z., An Experimental Study for Transforming and Differencing Effects in Multiplicative Neuron Model Artificial Neural Network for Time Series Forecasting, The 8th International Days of Statistics and Economics, Prague, Czech Republic, September 11-13, 2014. (CPCI)
https://msed.vse.cz/msed_2014/article/343-Karaahmetoglu-Elif-paper.pdf

Alpaslan, F., Ilter, D., Dalar, A.Z., Egrioglu, E., Artificial Neural Network Artificial Bee Colony Algorithm Training based on Multiplicative Neural Cell Model, Erciyes University Science Institute Journal, 30(5), 363-375, 2014.

Dalar, A.Z., Egrioglu, E., Yolcu, U., Ilter, D., Gundogdu, O., 2014, An investigation of Differencing Effect in Multiplicative Neuron Model Artificial Neural Network for Istanbul Stock Exchange Time Series Forecasting, American Journal of Intelligent Systems, ISSN: 2165-8994, 4(1), 15-19.
https://scispace.com/papers/an-investigation-of-differencing-effect-in-multiplicative-1dkas644oa

Alpaslan, F., Egrioglu, E., Aladag, H., Ç., Ilter, D., Dalar, Z., A., Comparison of Multiplicative Neuron Models Using ABC and BP Training Algorithms: An Application to Istanbul Gold Change, Anadolu University Journal Of Science and Engineering, 2013, ISSN:1302-3160, 14(3), 315-328.
https://scispace.com/papers/comparison-of-single-multiplicative-neuron-artificial-neural-1h7mf6fcp6

Alpaslan, F., Cagcag, Ö., Ilter, D., Yolcu U., Forecasting of Istanbul’s Clean Water Consumptıon with Fuzzy Time Series Approaches, Journal of Statistical Research, ISSN:1302-3160, 9(2(Special Issue)),1-11,2012.
https://dergipark.org.tr/en/pub/jsstr/issue/80980/1380048